Robust detection and tracking pedestrian object for real time
surveillance applications

Fouad Bousetouane; Lynda Dib; Hichem Snoussi

doi:10.1117/12.913034

30 September 2011 Robust detection and tracking pedestrian object for real time surveillance applications

Fouad Bousetouane, Lynda Dib, Hichem Snoussi

Proceedings Volume 8285, International Conference on Graphic and Image Processing (ICGIP 2011); 828508 (2011) https://doi.org/10.1117/12.913034
Event: 2011 International Conference on Graphic and Image Processing, 2011, Cairo, Egypt

Abstract

This paper describes about real-time moving pedestrian object detection and tracking. In this work, a new pedestrian object tracking approach is proposed, which uses a new texture model for better representing the pedestrian object. This approach based primarily on a step of object detection for automatic pedestrian object area extraction, features extraction step for pedestrian object representation and finally tracking step based on region matching method. We propose a new texture model for discriminant pedestrian object representation. This model based on a set of Haralick indexes computed from co-occurrence matrix. The presented approach can handle orientation, object scale, illumination changes, and clutter and complex occlusions.

Citation Download Citation

Fouad Bousetouane, Lynda Dib, and Hichem Snoussi "Robust detection and tracking pedestrian object for real time surveillance applications", Proc. SPIE 8285, International Conference on Graphic and Image Processing (ICGIP 2011), 828508 (30 September 2011); https://doi.org/10.1117/12.913034

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